ExcelSense Technologies Corp.: federal grants and contributions

Updated 12 October 2026 · Richmond|Richmond, BC · grants and contributions register · Steveston–Richmond East

ExcelSense Technologies Corp.: federal grants and contributions: 13 agreements; $3.3M value; 2 departments; 6 programs.

Assay record ASY-CA-0Z89I5Y1UL · Cite as: Assay Systems, “ExcelSense Technologies Corp.: federal grants and contributions”, https://assay-systems.com/register/ca/grants/r/excelsense-technologies-corp/

$
13agreements
$3.3Mvalue
2departments
6programs

Largest agreements

LVC - Self cleaning system for sensors necessary for autonomous systems$1.8Mvalue2025start2027end

Develop a self-cleaning platform for rugged optical sensors, enabling lifetime resistance to contaminants such as mud, oil, and salt. Purpose-built for cost efficiency and scalability for autonomous systems in construction, agriculture, recycling, mining, security and consumer vehicles that rely on optical sensors.

Project Iris - Automotive - Self-Cleaning Optics$300Kvalue2022start2023end

Develop a field-ready self-cleaning optical window system, suitable for testing on production commercial and consumer vehicles.

Project Iris - Miniaturized Self-Cleaning Optics$281Kvalue2021start2022end

Prototype of an uninterrupted, miniaturized, self-cleaning optical system for industrial and automotive manufacturers to enhance safety and autonomous operation.

FPFM - Foreign Pilot of Rugged a Maintenance-free Self-Cleaning LiDAR System for Autonomous Heavy Equipment$260Kvalue2023start2024end

Foreign pilot a maintenance-free self-cleaning LiDAR System for a major Japanese heavy equipment manufacturer at a operational mining site in the United States of America.

BC Fast Pilot - Self-Cleaning Cameras for Autonomous Mining Vehicles$160Kvalue2019start2020end

Development and pilot testing of self-sufficient self-cleaning cameras to bring guaranteed remote visibility to autonomous vehicles specifically with large haul trucks in open-pit mining

Development of a Self-Cleaning Interruption-Free Vision Platform$145Kvalue2020start2021end

Develop a functional prototype of an interruption-free, self-cleaning optical sensor housing, suitable for industrial applications where standard optical solutions become soiled with dirt, dust, oil, grease and other contaminants.

Development of Self Cleaning Camera Casing Prototype for Multiple Industry Applications and Low Lighting Environments.$120Kvalue2018start2019end

Develop a self-cleaning camera that does not require regular maintenance for harsh industrial environments such as mining, oil and gas and forestry. It can be expected to operate in limited to no lighting environment.

Experimentation to optimize business processes in self-cleaning cameras$100Kvalue2025start2026end

This project will test hypotheses and experiment with new mechanisms to optimize a repeatable and scalable business process, which may result in new business methods for self-cleaning cameras.

Show all 13
Agreement$50.0Kvalue2016start–end
ExcelSense Technologies Corp.-2026-2027-1043234$39.0Kvalue2026start2026end

The purpose of this CanExport SMEs agreement is to support small- and medium-sized enterprises (SMEs) for activities related to export market development that are part of an export business case for a specific target market, particularly where activities are targeting departmental priority markets and sectors.

Youth Internship - Mechatronics Test Engineer$36.0Kvalue2021start2022end

To provide technical employment for a engineering graduate in the field of mechatronics. Employee will be exposed to a range of engineering processes, including design, testing and quality control.

ExcelSense Technologies Corp.-2025-2026-1036878$30.0Kvalue2025start2026end

The purpose of this CanExport SMEs agreement is to support small- and medium-sized enterprises (SMEs) for activities related to export market development that are part of an export business case for a specific target market, particularly where activities are targeting departmental priority markets and sectors.

FR-03899$15.0Kvalue2023start–end

Develop digital adoption plan

Departments

National Research Council Canada12agreements$3.3Mvalue5programs
  • Industrial Research Assistance Program
  • Industrial Research Assistance Program – Contributions to Firms
  • CanExport
  • Industrial Research Assistance Program – Youth Employment Program
  • CanExport SME

All grants from National Research Council Canada

Innovation, Science and Economic Development Canada1agreements$15.0Kvalue1programs
  • Canadian Digital Adoption Program Boost your Business Technology Stream

All grants from Innovation, Science and Economic Development Canada

Years

20261agreements$39.0Kvalue1programs
  • CanExport
20253agreements$1.9Mvalue2programs
  • Industrial Research Assistance Program
  • CanExport SME
20232agreements$275Kvalue2programs
  • Industrial Research Assistance Program – Contributions to Firms
  • Canadian Digital Adoption Program Boost your Business Technology Stream
20221agreements$300Kvalue1programs
  • Industrial Research Assistance Program – Contributions to Firms
20212agreements$317Kvalue2programs
  • Industrial Research Assistance Program – Contributions to Firms
  • Industrial Research Assistance Program – Youth Employment Program
20201agreements$145Kvalue1programs
  • Industrial Research Assistance Program – Contributions to Firms
20191agreements$160Kvalue1programs
  • Industrial Research Assistance Program – Contributions to Firms
20181agreements$120Kvalue1programs
  • Industrial Research Assistance Program – Contributions to Firms
20161agreements$50.0Kvalue0programs

    Contains information licensed under the Open Government Licence – Canada. Source: Government of Canada proactive disclosure of grants and contributions (open.canada.ca, dataset 432527ab-7aac-45b5-81d6-7597107a7013), 1,327,352 rows as published, collapsed to one agreement per agreement number (per reference number where none is given) at its latest amendment, which carries the full agreement value. Years are the agreement start year. Agreements with individuals are counted but not named.